Python and ReportLab for Efficient Reporting and Automation

سرفصل های دوره

Use Python, ReportLab and data visualization packages like Seaborn and Matplotlib to generate automated reports

1. Workspace Setup

1.1 notes.pdf

1. Introduction

2.1 resources.zip

2. Information on Resources.html

3. Virtual Environment Setup

4.1 requirements.txt

4. Installing Python Libraries

2. ReportLab Groundwork

1.1 01-reportlab-groundwork.zip

1. Introduction

2. The Canvas Object of PDFgen

3. ReportLab Anatomy - The Hierarchy of Document Building Blocks

4. Building Documents with PLATYPUS - Create Your Own Page and Document Templates

5. Include Data Visualizations in Your Reports with Figure to Image Conversion

6. Add Tables to Your Report Easily with DataFrame to Table Conversion

7. Styling Your Paragraphs and Tables with Dedicated Style Objects

8. Overview

3. Document Data Analysis Progress with ReportLab

1. Introduction

2.1 cereal.csv

2. The Cereal Dataset

3. Dataset Import

4. Data Type Management with NumPy and alternatives with PyArrow

5. Identifying and Handling Invalid Observations

6. Equalizing Nutritional Values on the Basis of Weight

7. Extending the Analysis with Nutritional Test

8. Declaring Variable Units

9. Auxiliary Tables

10. Improving the Print in the PDF Document

11. Overview

4. Including Data Visualizations in Your Reports

1. Introduction

2. The Matplotlib Figure Object

3. Regular Pyplot Charts and the Pandas Plotting System

4. Exporting Results of Custom Data Visualization Functions

5. Including a Subplot Grid in a Report

6. Various Types of Plots Created with Seaborn - Plot Matrix and Facet Grid Plot

7. Overview

5. Updating and Extending the Report

1.1 02-updating-the-report.zip

1. Introduction

2. Introducing Additional Page Templates

3. Updating Flowable Style Objects

4. Reorganizing Data Tables and Paragraphs

5. Handling Multiple Data Visualizations in a Single Document

6. Pre-Defined Layouts with the Help of Container Tables

7. Building the PLATYPUS Story

6. Automating the Report Building Process

1.1 03-automation.zip

1.2 americanHFP.csv

1.3 generalMills.csv

1.4 kelloggs.csv

1.5 nabisco.csv

1.6 post.csv

1.7 quakerOats.csv

1.8 ralstonPurina.csv

1. Why You Should Consider Automating the Process

2. Building the Automation

3. Farewell

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تولید کننده: Udemy